Using A Workspace LegendUsing A Workspace Legend

►The following tutorial will describe the The following tutorial will describe the features of the NASIS Legend Builder features of the NASIS Legend Builder form in the Pedon_PC database.form in the Pedon_PC database.

Using A Workspace LegendUsing A Workspace Legend

Open Pedon_PC and navigate to:Open Pedon_PC and navigate to: Setup>Relink TablesSetup>Relink Tables

►make sure you are linked to the correct make sure you are linked to the correct pedon.mdb file and workspace_legend.mdb.pedon.mdb file and workspace_legend.mdb.

►If you have not built a “workspace” legend yet, If you have not built a “workspace” legend yet, then make a copy of the then make a copy of the “mt618_workspace_legend.mdb” file included in “mt618_workspace_legend.mdb” file included in the Pedon_PC .zip file.the Pedon_PC .zip file.

►Open Pedon_PC Open Pedon_PC

► Notice the database window minimized in the lower left of the screen. Notice the database window minimized in the lower left of the screen. Maximize it.Maximize it.

► Looking at the tables, notice all of the linked tables with a “workspace_” Looking at the tables, notice all of the linked tables with a “workspace_” prefix.prefix.

► These are the tables from the workspace_legend.mdb.These are the tables from the workspace_legend.mdb.► Open each of the tables and investigate what’s inside them.Open each of the tables and investigate what’s inside them.

Workspace_chorizon_pedon is an enhanced replica of the SSURGO chorizon table. Workspace_chorizon_pedon is an enhanced replica of the SSURGO chorizon table. ► This is where all component horizon layers derived from aggregated pedons are stored.This is where all component horizon layers derived from aggregated pedons are stored.

Workspace_component_horizon_default_layers holds the default seqnum Workspace_component_horizon_default_layers holds the default seqnum assignments for horizons in a pedon dataset.assignments for horizons in a pedon dataset.

Workspace_component_legend and Workspace_mapunit_legend store the set of Workspace_component_legend and Workspace_mapunit_legend store the set of mapunits and components that are referenced in a pedon dataset. mapunits and components that are referenced in a pedon dataset.

Workspace_mapunit_polygon_comp_type stores any polygon note. If the polygon Workspace_mapunit_polygon_comp_type stores any polygon note. If the polygon note belongs to a transect, make sure to reference the corresponding User Transect note belongs to a transect, make sure to reference the corresponding User Transect ID.ID.

Workspace_mapunit_polygon_composition stores the composition estimates for a Workspace_mapunit_polygon_composition stores the composition estimates for a given polygon note.given polygon note.

► The tables with the “workspace_SSURGO” tables are where SSURGO data The tables with the “workspace_SSURGO” tables are where SSURGO data resides.resides.

► If you are using the sample MT618 dataset and would like to use it for your If you are using the sample MT618 dataset and would like to use it for your own workspace legend, then delete the records in all of the tables EXCEPT the own workspace legend, then delete the records in all of the tables EXCEPT the “horizon_default_layers” table. You’ll need this to do horizon aggregation.“horizon_default_layers” table. You’ll need this to do horizon aggregation.

Basic AssumptionsBasic Assumptions► To take advantage of all of the features of this legend building To take advantage of all of the features of this legend building

tool, some minimum data requirements are assumed.tool, some minimum data requirements are assumed. You have pedon data in an EDITABLE pedon.mdb file and the components You have pedon data in an EDITABLE pedon.mdb file and the components

and mapunits you wish to analyze have a representative sample of and mapunits you wish to analyze have a representative sample of complete pedon descriptions.complete pedon descriptions.

► Mapunits are assigned to pedons in some fashion, either by Mapunit Overlaps Mapunits are assigned to pedons in some fashion, either by Mapunit Overlaps within the Pedon framework or via spatial overlap with a soil polygon layer.within the Pedon framework or via spatial overlap with a soil polygon layer.

► The “Soil Name as Sampled” field in the pedon table is populated. The “Soil Name as Sampled” field in the pedon table is populated. That “sampled” name is a UNIQUE component concept and includes the full phase That “sampled” name is a UNIQUE component concept and includes the full phase

name if present.name if present.

► The “Soil Name as Correlated” field is COMPLETELY BYPASSED. Component The “Soil Name as Correlated” field is COMPLETELY BYPASSED. Component correlations are instead handled within the “workspace” framework. If you’ve correlations are instead handled within the “workspace” framework. If you’ve already used the “Soil Name as Correlated” field to handle correlation already used the “Soil Name as Correlated” field to handle correlation decisions, back-up your dataset and update your “sampled” soil name with your decisions, back-up your dataset and update your “sampled” soil name with your “correlated” soil name using a basic update query like: “correlated” soil name using a basic update query like:

UPDATE pedon SET soinmassamp = [soinmascorr] WHERE soinmascorr Is Not Null And UPDATE pedon SET soinmassamp = [soinmascorr] WHERE soinmascorr Is Not Null And soinmascorr <> [soinmassamp] soinmascorr <> [soinmassamp]

► The “Horizon Designation” field in the phorizon table is populated. (Not just The “Horizon Designation” field in the phorizon table is populated. (Not just master horizons)master horizons)

► The “Sequence Number” field within the phorizon table is OVERWRITTEN when The “Sequence Number” field within the phorizon table is OVERWRITTEN when aggregating pedon horizons into component horizon layers.aggregating pedon horizons into component horizon layers.

Additional AssumptionsAdditional Assumptions► To take advantage of the advanced spatial features of this To take advantage of the advanced spatial features of this

legend building tool, some additional data requirements are legend building tool, some additional data requirements are assumed.assumed.

You have a spatial polygon layer with an OBJECTID, MUSYM, and You have a spatial polygon layer with an OBJECTID, MUSYM, and Shape_Acres field.Shape_Acres field.

► If you’re missing either the MUSYM or Shape_Acres field, calculate them in If you’re missing either the MUSYM or Shape_Acres field, calculate them in ArcMap.ArcMap.

You are working with ONE soil polygon layer. You are working with ONE soil polygon layer.

► To begin working with a “workspace” legend, you will open Pedon_PC To begin working with a “workspace” legend, you will open Pedon_PC and go to Forms > NASIS Legend Builder. Let’s take the tour… and go to Forms > NASIS Legend Builder. Let’s take the tour…

► Main Tabs► Selection – control what mapunits and/or components to use for spatial display,

aggregation, and calculations► Mapunits – enter polygon composition, make mapunit correlations, view

acreages► Components – view pedon documentation, make component correlations,

aggregate pedon horizons in to component layers► Options – set default layer groups, build legends from SSURGO, spatial, or

pedon sources

► Calculations► Calculations can be built to aggregate point data in to

NASIS data mapunit and component horizon data.

► Mapunit Selector Box► 1. Select one or more mapunits from this list► 2. Click the “Selected” option above► 3. Mapunits and components will filter to only those

selections

► Component Selector Box► 1. Select one or more components from this list► 2. Click the “Selected” option above► 3. Mapunits and components will filter to only those

selections

► Soil Survey Area► Click the drop down arrow to see the number of mapunits and

components in each area.► If you don’t see your survey area in the drop-down list, close the

form and go to Setup>Customize Choice Lists>Edit Choice Lists and on the Area tab, place a check mark next to your area of interest.

► Selection Options► All – shows the current dataset on the Analysis Form.

► This may be the “full” dataset or it may be filtered by any other interpretive group. Example: Select sites with a particular parent material or diagnostic horizon on the Analysis Form. Then open the Workspace Legend and the mapunit and component lists will include only those mapunits and components meeting your criteria.

► Selected – allows selections of mapunits or components from the lists below

► Reports► Reports can be built and linked

to.

► NASIS Legend Builder - Workspace Mapunits► Manage/View “Workspace” Mapunit and Component

Legends.► Manage/View supporting polygon and pedon

documentation.

► Aggregated Mapunit Composition► Composition Type Examples:

► Line-intercept or Point-intercept Transect ► LANDSAT COVERTYPE► DEM Elevation, Slope Class, or Curvature

Intersect

► Polygon - Composition Type► Alaska relies on line-intercept transects

► Polygon - Percent Composition► Estimated or Calculated composition of a given polygon

► Polygon – Point Intersect – Acre Documentation► Mapunit Component Pedon Count► Shows supporting pedon documentation by descending

count

► Mapunit List ► Mapunit Details

► NASIS Legend Builder – Mapunits Tab

► Viewing/Checking Data – Polygon-Point Intersect► List of Points that intersected these mapunit polygons.

► 4 pedons sampled as STTU (or correlated to STTU) fell within these 49 Mapunit 1FW1 polygons.

► Viewing/Checking Data – Polygon-Point Intersect► (NOT EDITABLE: calculated from an actual soil polygon – documentation point

intersect)► Total Acres - total mapunit acres.► #Polygons - total number of mapunit polygons.► %Acres - % of mapunit acres with existing point

documentation.► %Poly - % of mapunit polygons with existing point

documentation.► Acres Avg - average delineation size

► Viewing/Checking Data - - Aggregated Composition Data

► (NOT EDITABLE: calculated from actual composition estimates (estimated or derived)

► Component STTU► Referenced in 5 of 7 line-intercept transect composition notes (RV = 30% of MU)

► Normalized Percent = (5 / 7) X 30% = 21%► Listed below are all 7 line-intercept transects for this mapunit.

► Transect 00MC114: STTU component was estimated at 40% of polygon.

► Viewing/Checking Data - Aggregated Composition Data

► (NOT EDITABLE: calculated from actual composition estimates (estimated or derived)

► Mapunit 1FW1► 7 line-intercept transects were taken for this mapunit.► All 7 had composition estimates. ► 4 of the 7 had at least 2 pedons per transect.► Note: In Alaska, each mapunit should have a minimum of 3 complete line-intercept

transects, all of which contain composition estimates and 2+ pedons per transect.

Mapunit Legend Management - Common Mapunit Legend Management - Common TasksTasks

How do I add a new mapunit to my legend?How do I add a new mapunit to my legend?► Scroll to the bottom of the mapunit list at the left of the form.Scroll to the bottom of the mapunit list at the left of the form.► Type in a new mapunit name. Type in a new mapunit name. ► The “as sampled” and “as correlated” mapunit name will be defaulted as the same. When the “as sampled” name is The “as sampled” and “as correlated” mapunit name will be defaulted as the same. When the “as sampled” name is

the same as the “as correlated” name, it is considered a “correlated” mapunit.the same as the “as correlated” name, it is considered a “correlated” mapunit.

How do I correlate one mapunit to another mapunit?How do I correlate one mapunit to another mapunit?► Change the “as correlated” name to the “correlated” mapunit you wish to correlate to.Change the “as correlated” name to the “correlated” mapunit you wish to correlate to.

How do I add a line-intercept transect or polygon note to my mapunit documentation?How do I add a line-intercept transect or polygon note to my mapunit documentation?► Choose the mapunit from the mapunit list at the left of the form.Choose the mapunit from the mapunit list at the left of the form.► In the Polygon section of the form, select the transect from the drop-down list in the Transect Column. In the Polygon section of the form, select the transect from the drop-down list in the Transect Column.

(It only contains transects that are not yet linked to a mapunit.)(It only contains transects that are not yet linked to a mapunit.)► After the record has been created, click the + sign at the left of the record.After the record has been created, click the + sign at the left of the record.

Enter the estimated % for all componentsEnter the estimated % for all components

How do I change the mapunit of a transect?How do I change the mapunit of a transect?► In the Polygon section of the form, find the transect of interest and select a new mapunit in the MUSYM column. In the Polygon section of the form, find the transect of interest and select a new mapunit in the MUSYM column.

► Aggregated Component Horizon Layers► # - Number of Horizons being aggregated► Layer Group – groups horizons within a profile

► Example: ► Cg1 and Cg2 horizons can be assigned to

the same Cg layer group.

► Correlated Components List (with pedon count)► (NOT EDITABLE)► Lists all components that have been correlated to the current

component.► Note: In Alaska, each component should have a minimum of 3 “full” pedon

descriptions. Only full pedon descriptions are used to aggregate horizon layers.

► Layer Horizon List (EDITABLE DATASET)► Shows the Pedon Horizons that were aggregated into the Component Horizon

Layers► The Layer Group or Horizon Designation can be manually reassigned for

a given horizon.

► Component Pedons (EDITABLE DATASET)► List of Pedons – only those pedons with a Pedon Purpose of “full pedon

description” will be used to aggregate into component horizon layers.

► Pedon Horizons (EDITABLE DATASET)

► Component List

► Component Details

► NASIS Legend Builder – Workspace Components

► Manage/View “Workspace” Mapunit and Component Legends.

► Manage/View supporting polygon and pedon documentation.

► Viewing/Checking Data – Basic Controls► Depress the “View Childs” toggle button to view or edit the “first” texture and/or fragment records.► NOTE: This slows down the form by “pulling” up the first child records in the phtexture and phfrags

tables. Like on the site data entry forms, it allows population of “child” table fields as if they were part of the phorizon table.

► Viewing/Checking Data – Basic Controls► If you have an internet connection, double-clicking the component name in any of these locations will

open a new window showing the OSD. Place your cursor in any of these fields and press the ctrl key to view the series extent.

► Changing the Component in the Correlated Component List refreshes the list of Pedons. ► Changing the Pedon refreshes the list of Horizons.► Changing the Component Horizon Layer refreshes the list of Pedon Horizon Layers.► Changing the Pedon Horizon Layer changes the current Pedon.► Changing the Layer Group for the current Horizon…

► and then double-clicking in either of these locations refreshes the Component Horizon Layers above.

► NASIS Legend Builder – Component Tab Enhancements► By removing the checkmark you can remove the component from aggregation.► Correlated Component List was moved up to the top row.► Texture Count was added.► View Childs was moved to the left of the pedon horizons. This must be depressed to

view/edit horizon child records like texture and fragments.► The current component name, component layer, and texture class control the horizon list.

► NASIS Legend Builder – Options Tab► Edit Horizon Default Layer Groupings.► Update Layer Groups (of actual horizons).► Build mapunit and/or component legend from multiple sources.► Intersect Points and Polygons – After intersecting points and polygons in ArcMap, use this

option to import the intersection into the Pedon_PC database. This lets you take advantage of the advanced spatial features of the form (acreage reporting, polygon selection, etc).

► Press the Intersect Points and Polygons button to close down the NASIS Legend Builder and bring in the tables from the intersection.

► After following the instructions on the form (see the “Setup for Pedon PC Spatial Linkage.ppt”), press the OK button and the following acreage summary will appear. Check the acreage estimates. Then close down the form and go to Forms>NASIS Legend Builder.

Complete ExerciseComplete Exercise

► The following exercise will investigate the documentation for the The following exercise will investigate the documentation for the McMannamy component within the MT618 dataset.McMannamy component within the MT618 dataset.

► We will use the Analysis Form and NASIS Legend Builder in We will use the Analysis Form and NASIS Legend Builder in conjunction with ArcMap to view the extent of McMannamy within the conjunction with ArcMap to view the extent of McMannamy within the MT618 survey area.MT618 survey area. To do a similar exercise with your own set of data, make sure you’ve To do a similar exercise with your own set of data, make sure you’ve

already watched the “Pedon_PC_AnalysisForm.ppt” and the already watched the “Pedon_PC_AnalysisForm.ppt” and the “ArcMap_Setup_for_Spatial_Linkage.ppt” “ArcMap_Setup_for_Spatial_Linkage.ppt”

► Then we’ll build a NASIS McMannamy component by aggregating our Then we’ll build a NASIS McMannamy component by aggregating our McMannamy pedon horizons into component horizon layers. McMannamy pedon horizons into component horizon layers.

McMannamy ExerciseMcMannamy Exercise► First…some background on the McMannamy series concept.First…some background on the McMannamy series concept.► I’ll open the Analysis Form by going to Forms>Analyze Point Data.I’ll open the Analysis Form by going to Forms>Analyze Point Data.► After pressing the “Remove Filter” button, I start with a fresh query and see After pressing the “Remove Filter” button, I start with a fresh query and see

that I have 73 sites sampled as “McMannamy”.that I have 73 sites sampled as “McMannamy”.► To select only these McMannamy sites, I’ll select “McMannamy” from the To select only these McMannamy sites, I’ll select “McMannamy” from the

PickList, I’ll then press the Filter button. PickList, I’ll then press the Filter button. But first I’ll depress the “Continuous Spatial Refresh” button so that this But first I’ll depress the “Continuous Spatial Refresh” button so that this

selection can be viewed in ArcMap.selection can be viewed in ArcMap.

McMannamy ExerciseMcMannamy Exercise► I’m now filtered only to “McMannamy” so I go over to ArcMap and refresh my I’m now filtered only to “McMannamy” so I go over to ArcMap and refresh my

screen.screen.► Notice that these sites only occur in the eastern half of the survey area. Notice that these sites only occur in the eastern half of the survey area.

Most of this survey area was glaciated, but only in the eastern half did the glaciers Most of this survey area was glaciated, but only in the eastern half did the glaciers leave behind the calcareous till that this soil is derived from.leave behind the calcareous till that this soil is derived from.

► Back on the Analysis Form, I select the Subgroup field. You can see that the Back on the Analysis Form, I select the Subgroup field. You can see that the dominant taxonomic subgroup was the “inceptic haplustalf”. dominant taxonomic subgroup was the “inceptic haplustalf”.

► Let’s look at some photos of this soil so you can see just how weak or Let’s look at some photos of this soil so you can see just how weak or “inceptic” the argillic horizons in these soils really are.“inceptic” the argillic horizons in these soils really are.

► I click the photo button…I click the photo button…► Which opens the Photo Link Manager form.Which opens the Photo Link Manager form.► After selecting the “Selected Sites – Analysis Form” option and choosing to After selecting the “Selected Sites – Analysis Form” option and choosing to

view only the Profile photos, I find this beautiful profile of one of the weakest view only the Profile photos, I find this beautiful profile of one of the weakest argillics you’ll ever see.argillics you’ll ever see.

McMannamy ExerciseMcMannamy Exercise► Are you starting to get a feel for the McMannamy series?Are you starting to get a feel for the McMannamy series?► Then let’s go to the NASIS Legend Builder at Forms>NASIS Legend Builder.Then let’s go to the NASIS Legend Builder at Forms>NASIS Legend Builder.► Notice that upon opening, it’s already filtered to McMannamy. This is because Notice that upon opening, it’s already filtered to McMannamy. This is because

the NASIS Legend Builder is tethered to the Analysis Form. This powerful the NASIS Legend Builder is tethered to the Analysis Form. This powerful feature allows you take advantage of the full querying capabilites of the feature allows you take advantage of the full querying capabilites of the Analysis Form when viewing and aggregating data. Analysis Form when viewing and aggregating data.

► I go back over to ArcMap and refresh the view. I find that the soil polygons I go back over to ArcMap and refresh the view. I find that the soil polygons with McMannamy documentation are now selected. with McMannamy documentation are now selected.

McMannamy ExerciseMcMannamy Exercise► Suppose McMannamy is, in fact, a component in all of the mapunits you saw Suppose McMannamy is, in fact, a component in all of the mapunits you saw

selected.selected.► Selecting all of the mapunits in the list will show the theoretical extent of the Selecting all of the mapunits in the list will show the theoretical extent of the

McMannamy series across the full extent of mapunit polygons, not just the McMannamy series across the full extent of mapunit polygons, not just the polygons where McMannamy documentation actually ocurred.polygons where McMannamy documentation actually ocurred. But remember the form is limited by the records on the Analysis Form, so before But remember the form is limited by the records on the Analysis Form, so before

making the selection, either close the Analysis Form or click the Remove Filter button making the selection, either close the Analysis Form or click the Remove Filter button on the Analysis Form to start a fresh set.on the Analysis Form to start a fresh set.

► After refreshing the ArcMap view, you notice that the extent of mapunits with After refreshing the ArcMap view, you notice that the extent of mapunits with McMannamy is much larger than the extent of polygons with McMannamy McMannamy is much larger than the extent of polygons with McMannamy documentation.documentation.

McMannamy ExerciseMcMannamy Exercise► So far we’ve seen…So far we’ve seen…

the mapunits with McMannamy pedon documentation…the mapunits with McMannamy pedon documentation… the extent of McMannamy points and polygons… the extent of McMannamy points and polygons… the extent of the mapunits that they occurred in…the extent of the mapunits that they occurred in… a typical profile of McMannamy…a typical profile of McMannamy… let’s throw in a picture of the character that dug all these holes…let’s throw in a picture of the character that dug all these holes…

► Now let’s turn all of that in to…Now let’s turn all of that in to…► The beauty that is NASIS…The beauty that is NASIS…

A data mapunit component:A data mapunit component:

McMannamy ExerciseMcMannamy Exercise► Let’s go back to the NASIS Legend Builder at Forms>NASIS Legend Builder.Let’s go back to the NASIS Legend Builder at Forms>NASIS Legend Builder.► Select McMannamy from the Component List and hit Select.Select McMannamy from the Component List and hit Select.► Then go to the Components Tab and see that of the 73 McMannamy pedons, 19 Then go to the Components Tab and see that of the 73 McMannamy pedons, 19

were complete enough for me to call “full pedon descriptions”, the rest we’ll just were complete enough for me to call “full pedon descriptions”, the rest we’ll just call “field notes”.call “field notes”.

► A “layer” may consist of one or more “horizons” within the same pedon. These A “layer” may consist of one or more “horizons” within the same pedon. These pedon layers are then aggregated into a “component horizon layer”.pedon layers are then aggregated into a “component horizon layer”.

► Of the 19 “full” pedons, I see that only 3 had Bw horizons. Since these weren’t Of the 19 “full” pedons, I see that only 3 had Bw horizons. Since these weren’t called Bt’s in the field, I want to correlate these Bw horizons to my E layers.called Bt’s in the field, I want to correlate these Bw horizons to my E layers.

► Since the current “component horizon layer” is Bw, the 3 Bw pedon horizons that Since the current “component horizon layer” is Bw, the 3 Bw pedon horizons that make it up are displayed below.make it up are displayed below.

► Change the “Layer Group” of the 3 Bw horizons from Bw layers to E layers. Then Change the “Layer Group” of the 3 Bw horizons from Bw layers to E layers. Then double-click the little gray form selector…double-click the little gray form selector…

► Notice that we now have a McMannamy component with 4 “clean” horizon Notice that we now have a McMannamy component with 4 “clean” horizon layers.layers. There’re a total of 19 pedon “layers” making up each of the 4 component “horizon There’re a total of 19 pedon “layers” making up each of the 4 component “horizon

layers”.layers”. The depths of each horizon layer match the corresponding horizon layer depths above The depths of each horizon layer match the corresponding horizon layer depths above

and below.and below. A clear increase in clay accompanies the Bt horizon.A clear increase in clay accompanies the Bt horizon.

► But also notice the the current O horizon layer has in it 1 silt loam texture. Clean But also notice the the current O horizon layer has in it 1 silt loam texture. Clean this editing error by depressing the View Childs button. Then remove the sil this editing error by depressing the View Childs button. Then remove the sil texture from the Oi horizon.texture from the Oi horizon.

McMannamy ExerciseMcMannamy Exercise► Go back to the Selection Tab.Go back to the Selection Tab.► We’re ready to create a McMannamy component to help populate the We’re ready to create a McMannamy component to help populate the

component horizon table in NASIS.component horizon table in NASIS.► Click the Calculation drop-down arrow and select the highlighted calculation.Click the Calculation drop-down arrow and select the highlighted calculation.► Enter “McMannamy” into the parameter box and…Enter “McMannamy” into the parameter box and…

McMannamy ExerciseMcMannamy Exercise► A query called “q_workspace_chorizon_pedon” opens. This query references A query called “q_workspace_chorizon_pedon” opens. This query references

the “workspace_chorizon_pedon” table. In the absence of quality lab data, the the “workspace_chorizon_pedon” table. In the absence of quality lab data, the calculation we just ran estimates many of the required NASIS component calculation we just ran estimates many of the required NASIS component horizon data elements from pedon data.horizon data elements from pedon data.

► Check the existing data fields and enter the missing Low and High data fields.Check the existing data fields and enter the missing Low and High data fields.► Close the query and return to the NASIS Legend Builder, and run the Close the query and return to the NASIS Legend Builder, and run the

“Component Horizon (sieves)” calculation. “Component Horizon (sieves)” calculation. ► Notice in the bottom row that the sieves have been calculated.Notice in the bottom row that the sieves have been calculated.

► So how does it work you wonder? Let’s take a look.So how does it work you wonder? Let’s take a look.► Some of these calculation are straight forward, others are not.Some of these calculation are straight forward, others are not.

L,RV, and H Depths and RV Fragment Percents are calculated directly from pedons.L,RV, and H Depths and RV Fragment Percents are calculated directly from pedons. Fine Earth estimates for sand, silt, and clay are based on a texure-driven guidesheet Fine Earth estimates for sand, silt, and clay are based on a texure-driven guidesheet

model.model. CEC, Bulk Density, and Ksat are also based on a texture-driven guidesheet model.CEC, Bulk Density, and Ksat are also based on a texture-driven guidesheet model. Sieves are based on a simple calculator used in Alaska that draws on the coarse Sieves are based on a simple calculator used in Alaska that draws on the coarse

fragment (by volume) ranges, and sand, silt, and clay ranges.fragment (by volume) ranges, and sand, silt, and clay ranges.

McMannamy ExerciseMcMannamy Exercise► The guidesheet models are customizable and are stored in the The guidesheet models are customizable and are stored in the

t_component_guide_calculations table.t_component_guide_calculations table. Open this table and take a look at the “Sand Fractions Ratios - AK Defaults (texture)” Open this table and take a look at the “Sand Fractions Ratios - AK Defaults (texture)”

calculation.calculation.► Notice that it sets a default sand and clay percentage for each texture.Notice that it sets a default sand and clay percentage for each texture.

Example: Silt Loam (sil) has a default clay% = 5% and a default sand% = 30%.Example: Silt Loam (sil) has a default clay% = 5% and a default sand% = 30%.

► It also sets the sand fraction rations (these are a fraction of the total sand percentage).It also sets the sand fraction rations (these are a fraction of the total sand percentage). Example: Silt Loam (sil) has 30% total sand - 67% of that total is very fine sand, 17% is fine sand, and 17% is Example: Silt Loam (sil) has 30% total sand - 67% of that total is very fine sand, 17% is fine sand, and 17% is

med. sand.med. sand.

► Unlike the NASIS sand fraction calculation, you can adjust these numbers to Unlike the NASIS sand fraction calculation, you can adjust these numbers to reflect the soils in your own area. The values that you see were compiled from reflect the soils in your own area. The values that you see were compiled from Alaska’s lab data.Alaska’s lab data. NOTE: If sand and/or clay was estimated for a pedon horizon, that value overrides the NOTE: If sand and/or clay was estimated for a pedon horizon, that value overrides the

default estimates for a texture. default estimates for a texture. ► EXAMPLE: If a pedon horizon with a silt loam texture had a field est. clay% = 10%, that 10% field EXAMPLE: If a pedon horizon with a silt loam texture had a field est. clay% = 10%, that 10% field

estimated value will override the 5% default value. estimated value will override the 5% default value.

► Open the t_component_guide_calculations table and look at the “Db and Ksat – Open the t_component_guide_calculations table and look at the “Db and Ksat – NSSH Exhibit 618-9 Approximation.”. These values were estimated from the NSSH NSSH Exhibit 618-9 Approximation.”. These values were estimated from the NSSH Exhibit 618-9. Some values were then adjusted slightly to reflect conditions in Exhibit 618-9. Some values were then adjusted slightly to reflect conditions in Alaska.Alaska. This NSSH exhibit plots Db and Ksat on a texture triangle for low, medium, and high This NSSH exhibit plots Db and Ksat on a texture triangle for low, medium, and high

texture densities.texture densities. Alaska is testing the use of the moist consistence field as the density “separator”. A “very Alaska is testing the use of the moist consistence field as the density “separator”. A “very

friable” sil is “low” density while a “friable” sil is “medium density.friable” sil is “low” density while a “friable” sil is “medium density. Compare the Db and Ksat of low (l) density silt loam with that of medium (m) density silt Compare the Db and Ksat of low (l) density silt loam with that of medium (m) density silt

loam.loam.

► The pedon horizon “density” for Db and Ksat is actually determined in the The pedon horizon “density” for Db and Ksat is actually determined in the “workspace_component_phorizon_texture_density_from_rupresblkmst” query.“workspace_component_phorizon_texture_density_from_rupresblkmst” query.

► Open that query in design view and look at the density expression.Open that query in design view and look at the density expression.

► This a simple rule that can be as complex as you’d like…This a simple rule that can be as complex as you’d like… Default sets of textures in to different density groups…Default sets of textures in to different density groups… Apply a correction based on some other factor…Apply a correction based on some other factor… Etc.Etc.

► In this same query, you’ll notice an “ash_correction”.In this same query, you’ll notice an “ash_correction”. This reduces the bulk density by .2 for any horizon…This reduces the bulk density by .2 for any horizon… with “low” density and a subgroup like “*and*”.with “low” density and a subgroup like “*and*”.

McMannamy ExerciseMcMannamy Exercise► Take a look at the “CEC (AK) estimates from texture, pm, horizon des.” Take a look at the “CEC (AK) estimates from texture, pm, horizon des.”

calculation.calculation. This is the most complex of the pre-built calculations because the horizon CEC values in This is the most complex of the pre-built calculations because the horizon CEC values in

this model are dependent on Horizon Designation, density, texture, and presence of this model are dependent on Horizon Designation, density, texture, and presence of ash.ash.

Notice that a horizon like “B*” with low density silt loam is defaulted to a CEC_r of 20.Notice that a horizon like “B*” with low density silt loam is defaulted to a CEC_r of 20.► The CEC_r_aa field is an “ash adjustment”. Any horizon from a sugroup like “*and*” will have a The CEC_r_aa field is an “ash adjustment”. Any horizon from a sugroup like “*and*” will have a

CEC equal to the CEC_r and the CEC_r_aa columns.CEC equal to the CEC_r and the CEC_r_aa columns. Example: CEC_r(20) + CEC_r_aa(15) = 35.Example: CEC_r(20) + CEC_r_aa(15) = 35.

► These defaults were compiled from Alaska’s lab data.These defaults were compiled from Alaska’s lab data.► Like the Db and Ksat calculation, horizon density is determine in a query. You’ll Like the Db and Ksat calculation, horizon density is determine in a query. You’ll

find the density expression in the “workspace_layer_CEC_AK_phorizon_density”.find the density expression in the “workspace_layer_CEC_AK_phorizon_density”.

McMannamy ExerciseMcMannamy Exercise► The sieve calculation is different from the others in that it is handled by an update query The sieve calculation is different from the others in that it is handled by an update query

in Access. This is like the traditional NASIS calculations that simply look at values in the in Access. This is like the traditional NASIS calculations that simply look at values in the table to update and sets a different field equal to the value determined by the calculation.table to update and sets a different field equal to the value determined by the calculation.

► Make sure to fill in the following fields before running the “wp_chorizon_sieves” update.Make sure to fill in the following fields before running the “wp_chorizon_sieves” update. NOTE: place a checkmark in the “Allow Updates” field for the horizons you want to update. NOTE: place a checkmark in the “Allow Updates” field for the horizons you want to update.

Remove the checkmark if you don’t want to update the horizon sieves.Remove the checkmark if you don’t want to update the horizon sieves.

► By following the model of the sieve calculation, one could build more “update” By following the model of the sieve calculation, one could build more “update” calculations based on fields already populated in the “workspace_chorizon_pedon” table.calculations based on fields already populated in the “workspace_chorizon_pedon” table. EXAMPLE: Build a calculation for LL and PI.EXAMPLE: Build a calculation for LL and PI.

McMannamy ExerciseMcMannamy Exercise► Calculations that can be linked to the NASIS Legend Builder are stored in the Calculations that can be linked to the NASIS Legend Builder are stored in the

“t_analyze_calculations” table.“t_analyze_calculations” table.► If you build your own query that calculates one or more fields in the If you build your own query that calculates one or more fields in the

workspace_chorizon_pedon table, open the “t_analyze_calculations” table:workspace_chorizon_pedon table, open the “t_analyze_calculations” table: Enter the Access query object name in the SQL Query Column.Enter the Access query object name in the SQL Query Column. Name the calculation in the Calculation Name.Name the calculation in the Calculation Name. Open the NASIS Legend Builder, filter the data to the set of choice, then run the Open the NASIS Legend Builder, filter the data to the set of choice, then run the

calculation. calculation.

Complete Exercise - SummaryComplete Exercise - Summary► After learning our way around the NASIS Legend Builder…After learning our way around the NASIS Legend Builder…

We used some powerful visual tools to become familiar with We used some powerful visual tools to become familiar with the McMannamy series concept.the McMannamy series concept.

We aggregated horizons in to component horizon layers.We aggregated horizons in to component horizon layers. We calculated many of the required NASIS component horizon We calculated many of the required NASIS component horizon

data elements from our pedon documentation.data elements from our pedon documentation.

► Until NASIS incorporates these Until NASIS incorporates these powerful analysis and aggregation powerful analysis and aggregation tools, the data mapunit component tools, the data mapunit component horizon you see below will have to be horizon you see below will have to be hand entered in to NASIS.hand entered in to NASIS.